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» Learning Mechanism in Machine Translation System
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NAACL
2010
13 years 4 months ago
Predicting Human-Targeted Translation Edit Rate via Untrained Human Annotators
In the field of machine translation, automatic metrics have proven quite valuable in system development for tracking progress and measuring the impact of incremental changes. Howe...
Omar Zaidan, Chris Callison-Burch
FORTE
2008
13 years 8 months ago
Detecting Communication Protocol Security Flaws by Formal Fuzz Testing and Machine Learning
Network-based fuzz testing has become an effective mechanism to ensure the security and reliability of communication protocol systems. However, fuzz testing is still conducted in a...
Guoqiang Shu, Yating Hsu, David Lee
CICLING
2004
Springer
13 years 10 months ago
Korean Compound Noun Decomposition Using Syllabic Information Only
The compound nouns are freely composed in Korean, since it is possible to concatenate independent nouns without a postposition. Therefore, the systems that handle compound nouns su...
Seong-Bae Park, Jeong Ho Chang, Byoung-Tak Zhang
ECTEL
2006
Springer
13 years 10 months ago
Production and Deployment of Educational Videogames as Assessable Learning Objects
Abstract. The generalization of game-based Learning Objects as serious learning material requires their integration into pre-existing e-learning infrastructure (systems and courses...
Iván Martínez-Ortiz, Pablo Moreno-Ge...
EMNLP
2010
13 years 4 months ago
Soft Syntactic Constraints for Hierarchical Phrase-Based Translation Using Latent Syntactic Distributions
In this paper, we present a novel approach to enhance hierarchical phrase-based machine translation systems with linguistically motivated syntactic features. Rather than directly ...
Zhongqiang Huang, Martin Cmejrek, Bowen Zhou